
(FPCore (x)
:precision binary64
(let* ((t_0 (* (* (fabs x) (fabs x)) (fabs x)))
(t_1 (* (* t_0 (fabs x)) (fabs x))))
(fabs
(*
(/ 1.0 (sqrt PI))
(+
(+ (+ (* 2.0 (fabs x)) (* (/ 2.0 3.0) t_0)) (* (/ 1.0 5.0) t_1))
(* (/ 1.0 21.0) (* (* t_1 (fabs x)) (fabs x))))))))
double code(double x) {
double t_0 = (fabs(x) * fabs(x)) * fabs(x);
double t_1 = (t_0 * fabs(x)) * fabs(x);
return fabs(((1.0 / sqrt(((double) M_PI))) * ((((2.0 * fabs(x)) + ((2.0 / 3.0) * t_0)) + ((1.0 / 5.0) * t_1)) + ((1.0 / 21.0) * ((t_1 * fabs(x)) * fabs(x))))));
}
public static double code(double x) {
double t_0 = (Math.abs(x) * Math.abs(x)) * Math.abs(x);
double t_1 = (t_0 * Math.abs(x)) * Math.abs(x);
return Math.abs(((1.0 / Math.sqrt(Math.PI)) * ((((2.0 * Math.abs(x)) + ((2.0 / 3.0) * t_0)) + ((1.0 / 5.0) * t_1)) + ((1.0 / 21.0) * ((t_1 * Math.abs(x)) * Math.abs(x))))));
}
def code(x): t_0 = (math.fabs(x) * math.fabs(x)) * math.fabs(x) t_1 = (t_0 * math.fabs(x)) * math.fabs(x) return math.fabs(((1.0 / math.sqrt(math.pi)) * ((((2.0 * math.fabs(x)) + ((2.0 / 3.0) * t_0)) + ((1.0 / 5.0) * t_1)) + ((1.0 / 21.0) * ((t_1 * math.fabs(x)) * math.fabs(x))))))
function code(x) t_0 = Float64(Float64(abs(x) * abs(x)) * abs(x)) t_1 = Float64(Float64(t_0 * abs(x)) * abs(x)) return abs(Float64(Float64(1.0 / sqrt(pi)) * Float64(Float64(Float64(Float64(2.0 * abs(x)) + Float64(Float64(2.0 / 3.0) * t_0)) + Float64(Float64(1.0 / 5.0) * t_1)) + Float64(Float64(1.0 / 21.0) * Float64(Float64(t_1 * abs(x)) * abs(x)))))) end
function tmp = code(x) t_0 = (abs(x) * abs(x)) * abs(x); t_1 = (t_0 * abs(x)) * abs(x); tmp = abs(((1.0 / sqrt(pi)) * ((((2.0 * abs(x)) + ((2.0 / 3.0) * t_0)) + ((1.0 / 5.0) * t_1)) + ((1.0 / 21.0) * ((t_1 * abs(x)) * abs(x)))))); end
code[x_] := Block[{t$95$0 = N[(N[(N[Abs[x], $MachinePrecision] * N[Abs[x], $MachinePrecision]), $MachinePrecision] * N[Abs[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(t$95$0 * N[Abs[x], $MachinePrecision]), $MachinePrecision] * N[Abs[x], $MachinePrecision]), $MachinePrecision]}, N[Abs[N[(N[(1.0 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(2.0 * N[Abs[x], $MachinePrecision]), $MachinePrecision] + N[(N[(2.0 / 3.0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 / 5.0), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 / 21.0), $MachinePrecision] * N[(N[(t$95$1 * N[Abs[x], $MachinePrecision]), $MachinePrecision] * N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(\left|x\right| \cdot \left|x\right|\right) \cdot \left|x\right|\\
t_1 := \left(t\_0 \cdot \left|x\right|\right) \cdot \left|x\right|\\
\left|\frac{1}{\sqrt{\pi}} \cdot \left(\left(\left(2 \cdot \left|x\right| + \frac{2}{3} \cdot t\_0\right) + \frac{1}{5} \cdot t\_1\right) + \frac{1}{21} \cdot \left(\left(t\_1 \cdot \left|x\right|\right) \cdot \left|x\right|\right)\right)\right|
\end{array}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 14 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x)
:precision binary64
(let* ((t_0 (* (* (fabs x) (fabs x)) (fabs x)))
(t_1 (* (* t_0 (fabs x)) (fabs x))))
(fabs
(*
(/ 1.0 (sqrt PI))
(+
(+ (+ (* 2.0 (fabs x)) (* (/ 2.0 3.0) t_0)) (* (/ 1.0 5.0) t_1))
(* (/ 1.0 21.0) (* (* t_1 (fabs x)) (fabs x))))))))
double code(double x) {
double t_0 = (fabs(x) * fabs(x)) * fabs(x);
double t_1 = (t_0 * fabs(x)) * fabs(x);
return fabs(((1.0 / sqrt(((double) M_PI))) * ((((2.0 * fabs(x)) + ((2.0 / 3.0) * t_0)) + ((1.0 / 5.0) * t_1)) + ((1.0 / 21.0) * ((t_1 * fabs(x)) * fabs(x))))));
}
public static double code(double x) {
double t_0 = (Math.abs(x) * Math.abs(x)) * Math.abs(x);
double t_1 = (t_0 * Math.abs(x)) * Math.abs(x);
return Math.abs(((1.0 / Math.sqrt(Math.PI)) * ((((2.0 * Math.abs(x)) + ((2.0 / 3.0) * t_0)) + ((1.0 / 5.0) * t_1)) + ((1.0 / 21.0) * ((t_1 * Math.abs(x)) * Math.abs(x))))));
}
def code(x): t_0 = (math.fabs(x) * math.fabs(x)) * math.fabs(x) t_1 = (t_0 * math.fabs(x)) * math.fabs(x) return math.fabs(((1.0 / math.sqrt(math.pi)) * ((((2.0 * math.fabs(x)) + ((2.0 / 3.0) * t_0)) + ((1.0 / 5.0) * t_1)) + ((1.0 / 21.0) * ((t_1 * math.fabs(x)) * math.fabs(x))))))
function code(x) t_0 = Float64(Float64(abs(x) * abs(x)) * abs(x)) t_1 = Float64(Float64(t_0 * abs(x)) * abs(x)) return abs(Float64(Float64(1.0 / sqrt(pi)) * Float64(Float64(Float64(Float64(2.0 * abs(x)) + Float64(Float64(2.0 / 3.0) * t_0)) + Float64(Float64(1.0 / 5.0) * t_1)) + Float64(Float64(1.0 / 21.0) * Float64(Float64(t_1 * abs(x)) * abs(x)))))) end
function tmp = code(x) t_0 = (abs(x) * abs(x)) * abs(x); t_1 = (t_0 * abs(x)) * abs(x); tmp = abs(((1.0 / sqrt(pi)) * ((((2.0 * abs(x)) + ((2.0 / 3.0) * t_0)) + ((1.0 / 5.0) * t_1)) + ((1.0 / 21.0) * ((t_1 * abs(x)) * abs(x)))))); end
code[x_] := Block[{t$95$0 = N[(N[(N[Abs[x], $MachinePrecision] * N[Abs[x], $MachinePrecision]), $MachinePrecision] * N[Abs[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(t$95$0 * N[Abs[x], $MachinePrecision]), $MachinePrecision] * N[Abs[x], $MachinePrecision]), $MachinePrecision]}, N[Abs[N[(N[(1.0 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(2.0 * N[Abs[x], $MachinePrecision]), $MachinePrecision] + N[(N[(2.0 / 3.0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 / 5.0), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 / 21.0), $MachinePrecision] * N[(N[(t$95$1 * N[Abs[x], $MachinePrecision]), $MachinePrecision] * N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(\left|x\right| \cdot \left|x\right|\right) \cdot \left|x\right|\\
t_1 := \left(t\_0 \cdot \left|x\right|\right) \cdot \left|x\right|\\
\left|\frac{1}{\sqrt{\pi}} \cdot \left(\left(\left(2 \cdot \left|x\right| + \frac{2}{3} \cdot t\_0\right) + \frac{1}{5} \cdot t\_1\right) + \frac{1}{21} \cdot \left(\left(t\_1 \cdot \left|x\right|\right) \cdot \left|x\right|\right)\right)\right|
\end{array}
\end{array}
(FPCore (x)
:precision binary64
(fabs
(*
(fabs x)
(/
(+
2.0
(*
(* x x)
(+
0.6666666666666666
(* (* x x) (+ 0.2 (* x (* x 0.047619047619047616)))))))
(sqrt PI)))))
double code(double x) {
return fabs((fabs(x) * ((2.0 + ((x * x) * (0.6666666666666666 + ((x * x) * (0.2 + (x * (x * 0.047619047619047616))))))) / sqrt(((double) M_PI)))));
}
public static double code(double x) {
return Math.abs((Math.abs(x) * ((2.0 + ((x * x) * (0.6666666666666666 + ((x * x) * (0.2 + (x * (x * 0.047619047619047616))))))) / Math.sqrt(Math.PI))));
}
def code(x): return math.fabs((math.fabs(x) * ((2.0 + ((x * x) * (0.6666666666666666 + ((x * x) * (0.2 + (x * (x * 0.047619047619047616))))))) / math.sqrt(math.pi))))
function code(x) return abs(Float64(abs(x) * Float64(Float64(2.0 + Float64(Float64(x * x) * Float64(0.6666666666666666 + Float64(Float64(x * x) * Float64(0.2 + Float64(x * Float64(x * 0.047619047619047616))))))) / sqrt(pi)))) end
function tmp = code(x) tmp = abs((abs(x) * ((2.0 + ((x * x) * (0.6666666666666666 + ((x * x) * (0.2 + (x * (x * 0.047619047619047616))))))) / sqrt(pi)))); end
code[x_] := N[Abs[N[(N[Abs[x], $MachinePrecision] * N[(N[(2.0 + N[(N[(x * x), $MachinePrecision] * N[(0.6666666666666666 + N[(N[(x * x), $MachinePrecision] * N[(0.2 + N[(x * N[(x * 0.047619047619047616), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|\left|x\right| \cdot \frac{2 + \left(x \cdot x\right) \cdot \left(0.6666666666666666 + \left(x \cdot x\right) \cdot \left(0.2 + x \cdot \left(x \cdot 0.047619047619047616\right)\right)\right)}{\sqrt{\pi}}\right|
\end{array}
Initial program 99.8%
Simplified99.9%
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f6499.9%
Applied egg-rr99.9%
Final simplification99.9%
(FPCore (x)
:precision binary64
(if (<= (fabs x) 5.0)
(fabs
(*
x
(/ (+ 2.0 (* (* x x) (+ 0.6666666666666666 (* x (* x 0.2))))) (sqrt PI))))
(fabs
(*
x
(* (* (* x x) (/ x (sqrt PI))) (* 0.047619047619047616 (* x (* x x))))))))
double code(double x) {
double tmp;
if (fabs(x) <= 5.0) {
tmp = fabs((x * ((2.0 + ((x * x) * (0.6666666666666666 + (x * (x * 0.2))))) / sqrt(((double) M_PI)))));
} else {
tmp = fabs((x * (((x * x) * (x / sqrt(((double) M_PI)))) * (0.047619047619047616 * (x * (x * x))))));
}
return tmp;
}
public static double code(double x) {
double tmp;
if (Math.abs(x) <= 5.0) {
tmp = Math.abs((x * ((2.0 + ((x * x) * (0.6666666666666666 + (x * (x * 0.2))))) / Math.sqrt(Math.PI))));
} else {
tmp = Math.abs((x * (((x * x) * (x / Math.sqrt(Math.PI))) * (0.047619047619047616 * (x * (x * x))))));
}
return tmp;
}
def code(x): tmp = 0 if math.fabs(x) <= 5.0: tmp = math.fabs((x * ((2.0 + ((x * x) * (0.6666666666666666 + (x * (x * 0.2))))) / math.sqrt(math.pi)))) else: tmp = math.fabs((x * (((x * x) * (x / math.sqrt(math.pi))) * (0.047619047619047616 * (x * (x * x)))))) return tmp
function code(x) tmp = 0.0 if (abs(x) <= 5.0) tmp = abs(Float64(x * Float64(Float64(2.0 + Float64(Float64(x * x) * Float64(0.6666666666666666 + Float64(x * Float64(x * 0.2))))) / sqrt(pi)))); else tmp = abs(Float64(x * Float64(Float64(Float64(x * x) * Float64(x / sqrt(pi))) * Float64(0.047619047619047616 * Float64(x * Float64(x * x)))))); end return tmp end
function tmp_2 = code(x) tmp = 0.0; if (abs(x) <= 5.0) tmp = abs((x * ((2.0 + ((x * x) * (0.6666666666666666 + (x * (x * 0.2))))) / sqrt(pi)))); else tmp = abs((x * (((x * x) * (x / sqrt(pi))) * (0.047619047619047616 * (x * (x * x)))))); end tmp_2 = tmp; end
code[x_] := If[LessEqual[N[Abs[x], $MachinePrecision], 5.0], N[Abs[N[(x * N[(N[(2.0 + N[(N[(x * x), $MachinePrecision] * N[(0.6666666666666666 + N[(x * N[(x * 0.2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], N[Abs[N[(x * N[(N[(N[(x * x), $MachinePrecision] * N[(x / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(0.047619047619047616 * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;\left|x\right| \leq 5:\\
\;\;\;\;\left|x \cdot \frac{2 + \left(x \cdot x\right) \cdot \left(0.6666666666666666 + x \cdot \left(x \cdot 0.2\right)\right)}{\sqrt{\pi}}\right|\\
\mathbf{else}:\\
\;\;\;\;\left|x \cdot \left(\left(\left(x \cdot x\right) \cdot \frac{x}{\sqrt{\pi}}\right) \cdot \left(0.047619047619047616 \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right)\right|\\
\end{array}
\end{array}
if (fabs.f64 x) < 5Initial program 99.8%
Simplified99.9%
*-commutativeN/A
fabs-mulN/A
fabs-fabsN/A
mul-fabsN/A
fabs-lowering-fabs.f64N/A
*-lowering-*.f64N/A
Applied egg-rr99.9%
Taylor expanded in x around 0
*-commutativeN/A
*-lowering-*.f6499.1%
Simplified99.1%
if 5 < (fabs.f64 x) Initial program 99.8%
Simplified99.9%
Taylor expanded in x around inf
associate-*r*N/A
*-commutativeN/A
metadata-evalN/A
pow-sqrN/A
cube-prodN/A
unpow2N/A
cube-unmultN/A
pow-sqrN/A
metadata-evalN/A
associate-*r*N/A
*-commutativeN/A
metadata-evalN/A
pow-sqrN/A
associate-*l*N/A
*-commutativeN/A
associate-*r*N/A
associate-*r*N/A
associate-*r*N/A
Simplified98.1%
*-commutativeN/A
fabs-mulN/A
fabs-fabsN/A
mul-fabsN/A
fabs-lowering-fabs.f64N/A
*-lowering-*.f64N/A
Applied egg-rr98.2%
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
associate-*r*N/A
associate-*l*N/A
metadata-evalN/A
pow-flipN/A
pow1/2N/A
div-invN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
PI-lowering-PI.f64N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6498.2%
Applied egg-rr98.2%
Final simplification98.8%
(FPCore (x)
:precision binary64
(if (<= (fabs x) 0.2)
(fabs (* x (/ (+ 2.0 (* x (* x 0.6666666666666666))) (sqrt PI))))
(fabs
(*
x
(* (* (* x x) (/ x (sqrt PI))) (* 0.047619047619047616 (* x (* x x))))))))
double code(double x) {
double tmp;
if (fabs(x) <= 0.2) {
tmp = fabs((x * ((2.0 + (x * (x * 0.6666666666666666))) / sqrt(((double) M_PI)))));
} else {
tmp = fabs((x * (((x * x) * (x / sqrt(((double) M_PI)))) * (0.047619047619047616 * (x * (x * x))))));
}
return tmp;
}
public static double code(double x) {
double tmp;
if (Math.abs(x) <= 0.2) {
tmp = Math.abs((x * ((2.0 + (x * (x * 0.6666666666666666))) / Math.sqrt(Math.PI))));
} else {
tmp = Math.abs((x * (((x * x) * (x / Math.sqrt(Math.PI))) * (0.047619047619047616 * (x * (x * x))))));
}
return tmp;
}
def code(x): tmp = 0 if math.fabs(x) <= 0.2: tmp = math.fabs((x * ((2.0 + (x * (x * 0.6666666666666666))) / math.sqrt(math.pi)))) else: tmp = math.fabs((x * (((x * x) * (x / math.sqrt(math.pi))) * (0.047619047619047616 * (x * (x * x)))))) return tmp
function code(x) tmp = 0.0 if (abs(x) <= 0.2) tmp = abs(Float64(x * Float64(Float64(2.0 + Float64(x * Float64(x * 0.6666666666666666))) / sqrt(pi)))); else tmp = abs(Float64(x * Float64(Float64(Float64(x * x) * Float64(x / sqrt(pi))) * Float64(0.047619047619047616 * Float64(x * Float64(x * x)))))); end return tmp end
function tmp_2 = code(x) tmp = 0.0; if (abs(x) <= 0.2) tmp = abs((x * ((2.0 + (x * (x * 0.6666666666666666))) / sqrt(pi)))); else tmp = abs((x * (((x * x) * (x / sqrt(pi))) * (0.047619047619047616 * (x * (x * x)))))); end tmp_2 = tmp; end
code[x_] := If[LessEqual[N[Abs[x], $MachinePrecision], 0.2], N[Abs[N[(x * N[(N[(2.0 + N[(x * N[(x * 0.6666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], N[Abs[N[(x * N[(N[(N[(x * x), $MachinePrecision] * N[(x / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(0.047619047619047616 * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;\left|x\right| \leq 0.2:\\
\;\;\;\;\left|x \cdot \frac{2 + x \cdot \left(x \cdot 0.6666666666666666\right)}{\sqrt{\pi}}\right|\\
\mathbf{else}:\\
\;\;\;\;\left|x \cdot \left(\left(\left(x \cdot x\right) \cdot \frac{x}{\sqrt{\pi}}\right) \cdot \left(0.047619047619047616 \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right)\right|\\
\end{array}
\end{array}
if (fabs.f64 x) < 0.20000000000000001Initial program 99.8%
Simplified99.9%
*-commutativeN/A
fabs-mulN/A
fabs-fabsN/A
mul-fabsN/A
fabs-lowering-fabs.f64N/A
*-lowering-*.f64N/A
Applied egg-rr99.9%
Taylor expanded in x around 0
+-commutativeN/A
distribute-rgt-inN/A
associate-*l*N/A
pow-sqrN/A
metadata-evalN/A
+-lowering-+.f64N/A
metadata-evalN/A
pow-sqrN/A
associate-*l*N/A
distribute-rgt-inN/A
+-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6499.6%
Simplified99.6%
Taylor expanded in x around 0
+-lowering-+.f64N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f6499.1%
Simplified99.1%
if 0.20000000000000001 < (fabs.f64 x) Initial program 99.8%
Simplified99.9%
Taylor expanded in x around inf
associate-*r*N/A
*-commutativeN/A
metadata-evalN/A
pow-sqrN/A
cube-prodN/A
unpow2N/A
cube-unmultN/A
pow-sqrN/A
metadata-evalN/A
associate-*r*N/A
*-commutativeN/A
metadata-evalN/A
pow-sqrN/A
associate-*l*N/A
*-commutativeN/A
associate-*r*N/A
associate-*r*N/A
associate-*r*N/A
Simplified97.1%
*-commutativeN/A
fabs-mulN/A
fabs-fabsN/A
mul-fabsN/A
fabs-lowering-fabs.f64N/A
*-lowering-*.f64N/A
Applied egg-rr97.1%
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
associate-*r*N/A
associate-*l*N/A
metadata-evalN/A
pow-flipN/A
pow1/2N/A
div-invN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
PI-lowering-PI.f64N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6497.2%
Applied egg-rr97.2%
Final simplification98.5%
(FPCore (x)
:precision binary64
(let* ((t_0 (* x (* x x))))
(if (<= (fabs x) 0.2)
(fabs (* x (/ (+ 2.0 (* x (* x 0.6666666666666666))) (sqrt PI))))
(fabs (* t_0 (* (/ x (sqrt PI)) (* 0.047619047619047616 t_0)))))))
double code(double x) {
double t_0 = x * (x * x);
double tmp;
if (fabs(x) <= 0.2) {
tmp = fabs((x * ((2.0 + (x * (x * 0.6666666666666666))) / sqrt(((double) M_PI)))));
} else {
tmp = fabs((t_0 * ((x / sqrt(((double) M_PI))) * (0.047619047619047616 * t_0))));
}
return tmp;
}
public static double code(double x) {
double t_0 = x * (x * x);
double tmp;
if (Math.abs(x) <= 0.2) {
tmp = Math.abs((x * ((2.0 + (x * (x * 0.6666666666666666))) / Math.sqrt(Math.PI))));
} else {
tmp = Math.abs((t_0 * ((x / Math.sqrt(Math.PI)) * (0.047619047619047616 * t_0))));
}
return tmp;
}
def code(x): t_0 = x * (x * x) tmp = 0 if math.fabs(x) <= 0.2: tmp = math.fabs((x * ((2.0 + (x * (x * 0.6666666666666666))) / math.sqrt(math.pi)))) else: tmp = math.fabs((t_0 * ((x / math.sqrt(math.pi)) * (0.047619047619047616 * t_0)))) return tmp
function code(x) t_0 = Float64(x * Float64(x * x)) tmp = 0.0 if (abs(x) <= 0.2) tmp = abs(Float64(x * Float64(Float64(2.0 + Float64(x * Float64(x * 0.6666666666666666))) / sqrt(pi)))); else tmp = abs(Float64(t_0 * Float64(Float64(x / sqrt(pi)) * Float64(0.047619047619047616 * t_0)))); end return tmp end
function tmp_2 = code(x) t_0 = x * (x * x); tmp = 0.0; if (abs(x) <= 0.2) tmp = abs((x * ((2.0 + (x * (x * 0.6666666666666666))) / sqrt(pi)))); else tmp = abs((t_0 * ((x / sqrt(pi)) * (0.047619047619047616 * t_0)))); end tmp_2 = tmp; end
code[x_] := Block[{t$95$0 = N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[Abs[x], $MachinePrecision], 0.2], N[Abs[N[(x * N[(N[(2.0 + N[(x * N[(x * 0.6666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], N[Abs[N[(t$95$0 * N[(N[(x / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(0.047619047619047616 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := x \cdot \left(x \cdot x\right)\\
\mathbf{if}\;\left|x\right| \leq 0.2:\\
\;\;\;\;\left|x \cdot \frac{2 + x \cdot \left(x \cdot 0.6666666666666666\right)}{\sqrt{\pi}}\right|\\
\mathbf{else}:\\
\;\;\;\;\left|t\_0 \cdot \left(\frac{x}{\sqrt{\pi}} \cdot \left(0.047619047619047616 \cdot t\_0\right)\right)\right|\\
\end{array}
\end{array}
if (fabs.f64 x) < 0.20000000000000001Initial program 99.8%
Simplified99.9%
*-commutativeN/A
fabs-mulN/A
fabs-fabsN/A
mul-fabsN/A
fabs-lowering-fabs.f64N/A
*-lowering-*.f64N/A
Applied egg-rr99.9%
Taylor expanded in x around 0
+-commutativeN/A
distribute-rgt-inN/A
associate-*l*N/A
pow-sqrN/A
metadata-evalN/A
+-lowering-+.f64N/A
metadata-evalN/A
pow-sqrN/A
associate-*l*N/A
distribute-rgt-inN/A
+-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6499.6%
Simplified99.6%
Taylor expanded in x around 0
+-lowering-+.f64N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f6499.1%
Simplified99.1%
if 0.20000000000000001 < (fabs.f64 x) Initial program 99.8%
Simplified99.9%
Taylor expanded in x around inf
associate-*r*N/A
*-commutativeN/A
metadata-evalN/A
pow-sqrN/A
cube-prodN/A
unpow2N/A
cube-unmultN/A
pow-sqrN/A
metadata-evalN/A
associate-*r*N/A
*-commutativeN/A
metadata-evalN/A
pow-sqrN/A
associate-*l*N/A
*-commutativeN/A
associate-*r*N/A
associate-*r*N/A
associate-*r*N/A
Simplified97.1%
*-commutativeN/A
fabs-mulN/A
fabs-fabsN/A
mul-fabsN/A
fabs-lowering-fabs.f64N/A
*-lowering-*.f64N/A
Applied egg-rr97.1%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
metadata-evalN/A
pow-flipN/A
pow1/2N/A
associate-/r/N/A
clear-numN/A
*-lowering-*.f64N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
PI-lowering-PI.f6497.1%
Applied egg-rr97.1%
Final simplification98.5%
(FPCore (x) :precision binary64 (if (<= (fabs x) 0.2) (fabs (* x (/ (+ 2.0 (* x (* x 0.6666666666666666))) (sqrt PI)))) (fabs (* x (/ (* x (* 0.2 (* x (* x x)))) (sqrt PI))))))
double code(double x) {
double tmp;
if (fabs(x) <= 0.2) {
tmp = fabs((x * ((2.0 + (x * (x * 0.6666666666666666))) / sqrt(((double) M_PI)))));
} else {
tmp = fabs((x * ((x * (0.2 * (x * (x * x)))) / sqrt(((double) M_PI)))));
}
return tmp;
}
public static double code(double x) {
double tmp;
if (Math.abs(x) <= 0.2) {
tmp = Math.abs((x * ((2.0 + (x * (x * 0.6666666666666666))) / Math.sqrt(Math.PI))));
} else {
tmp = Math.abs((x * ((x * (0.2 * (x * (x * x)))) / Math.sqrt(Math.PI))));
}
return tmp;
}
def code(x): tmp = 0 if math.fabs(x) <= 0.2: tmp = math.fabs((x * ((2.0 + (x * (x * 0.6666666666666666))) / math.sqrt(math.pi)))) else: tmp = math.fabs((x * ((x * (0.2 * (x * (x * x)))) / math.sqrt(math.pi)))) return tmp
function code(x) tmp = 0.0 if (abs(x) <= 0.2) tmp = abs(Float64(x * Float64(Float64(2.0 + Float64(x * Float64(x * 0.6666666666666666))) / sqrt(pi)))); else tmp = abs(Float64(x * Float64(Float64(x * Float64(0.2 * Float64(x * Float64(x * x)))) / sqrt(pi)))); end return tmp end
function tmp_2 = code(x) tmp = 0.0; if (abs(x) <= 0.2) tmp = abs((x * ((2.0 + (x * (x * 0.6666666666666666))) / sqrt(pi)))); else tmp = abs((x * ((x * (0.2 * (x * (x * x)))) / sqrt(pi)))); end tmp_2 = tmp; end
code[x_] := If[LessEqual[N[Abs[x], $MachinePrecision], 0.2], N[Abs[N[(x * N[(N[(2.0 + N[(x * N[(x * 0.6666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], N[Abs[N[(x * N[(N[(x * N[(0.2 * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;\left|x\right| \leq 0.2:\\
\;\;\;\;\left|x \cdot \frac{2 + x \cdot \left(x \cdot 0.6666666666666666\right)}{\sqrt{\pi}}\right|\\
\mathbf{else}:\\
\;\;\;\;\left|x \cdot \frac{x \cdot \left(0.2 \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)}{\sqrt{\pi}}\right|\\
\end{array}
\end{array}
if (fabs.f64 x) < 0.20000000000000001Initial program 99.8%
Simplified99.9%
*-commutativeN/A
fabs-mulN/A
fabs-fabsN/A
mul-fabsN/A
fabs-lowering-fabs.f64N/A
*-lowering-*.f64N/A
Applied egg-rr99.9%
Taylor expanded in x around 0
+-commutativeN/A
distribute-rgt-inN/A
associate-*l*N/A
pow-sqrN/A
metadata-evalN/A
+-lowering-+.f64N/A
metadata-evalN/A
pow-sqrN/A
associate-*l*N/A
distribute-rgt-inN/A
+-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6499.6%
Simplified99.6%
Taylor expanded in x around 0
+-lowering-+.f64N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f6499.1%
Simplified99.1%
if 0.20000000000000001 < (fabs.f64 x) Initial program 99.8%
Simplified99.9%
*-commutativeN/A
fabs-mulN/A
fabs-fabsN/A
mul-fabsN/A
fabs-lowering-fabs.f64N/A
*-lowering-*.f64N/A
Applied egg-rr99.9%
Taylor expanded in x around 0
+-commutativeN/A
distribute-rgt-inN/A
associate-*l*N/A
pow-sqrN/A
metadata-evalN/A
+-lowering-+.f64N/A
metadata-evalN/A
pow-sqrN/A
associate-*l*N/A
distribute-rgt-inN/A
+-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6482.7%
Simplified82.7%
Taylor expanded in x around inf
metadata-evalN/A
pow-sqrN/A
associate-*l*N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6482.6%
Simplified82.6%
Taylor expanded in x around inf
metadata-evalN/A
pow-sqrN/A
associate-*l*N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
associate-*r*N/A
unpow2N/A
unpow3N/A
*-lowering-*.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6482.6%
Simplified82.6%
Final simplification94.1%
(FPCore (x) :precision binary64 (if (<= (fabs x) 0.2) (fabs (* x (/ 2.0 (sqrt PI)))) (/ (fabs (* x (* (* x x) 0.6666666666666666))) (sqrt PI))))
double code(double x) {
double tmp;
if (fabs(x) <= 0.2) {
tmp = fabs((x * (2.0 / sqrt(((double) M_PI)))));
} else {
tmp = fabs((x * ((x * x) * 0.6666666666666666))) / sqrt(((double) M_PI));
}
return tmp;
}
public static double code(double x) {
double tmp;
if (Math.abs(x) <= 0.2) {
tmp = Math.abs((x * (2.0 / Math.sqrt(Math.PI))));
} else {
tmp = Math.abs((x * ((x * x) * 0.6666666666666666))) / Math.sqrt(Math.PI);
}
return tmp;
}
def code(x): tmp = 0 if math.fabs(x) <= 0.2: tmp = math.fabs((x * (2.0 / math.sqrt(math.pi)))) else: tmp = math.fabs((x * ((x * x) * 0.6666666666666666))) / math.sqrt(math.pi) return tmp
function code(x) tmp = 0.0 if (abs(x) <= 0.2) tmp = abs(Float64(x * Float64(2.0 / sqrt(pi)))); else tmp = Float64(abs(Float64(x * Float64(Float64(x * x) * 0.6666666666666666))) / sqrt(pi)); end return tmp end
function tmp_2 = code(x) tmp = 0.0; if (abs(x) <= 0.2) tmp = abs((x * (2.0 / sqrt(pi)))); else tmp = abs((x * ((x * x) * 0.6666666666666666))) / sqrt(pi); end tmp_2 = tmp; end
code[x_] := If[LessEqual[N[Abs[x], $MachinePrecision], 0.2], N[Abs[N[(x * N[(2.0 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], N[(N[Abs[N[(x * N[(N[(x * x), $MachinePrecision] * 0.6666666666666666), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;\left|x\right| \leq 0.2:\\
\;\;\;\;\left|x \cdot \frac{2}{\sqrt{\pi}}\right|\\
\mathbf{else}:\\
\;\;\;\;\frac{\left|x \cdot \left(\left(x \cdot x\right) \cdot 0.6666666666666666\right)\right|}{\sqrt{\pi}}\\
\end{array}
\end{array}
if (fabs.f64 x) < 0.20000000000000001Initial program 99.8%
Simplified99.9%
*-commutativeN/A
fabs-mulN/A
fabs-fabsN/A
mul-fabsN/A
fabs-lowering-fabs.f64N/A
*-lowering-*.f64N/A
Applied egg-rr99.9%
Taylor expanded in x around 0
Simplified98.3%
if 0.20000000000000001 < (fabs.f64 x) Initial program 99.8%
Simplified99.9%
*-commutativeN/A
fabs-mulN/A
fabs-fabsN/A
mul-fabsN/A
fabs-lowering-fabs.f64N/A
*-lowering-*.f64N/A
Applied egg-rr99.9%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-inN/A
associate-*r*N/A
*-commutativeN/A
associate-*r*N/A
associate-*r*N/A
distribute-rgt-outN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f64N/A
*-commutativeN/A
distribute-lft-outN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
Simplified67.9%
*-commutativeN/A
sqrt-divN/A
metadata-evalN/A
un-div-invN/A
fabs-divN/A
rem-sqrt-squareN/A
add-sqr-sqrtN/A
/-lowering-/.f64N/A
fabs-lowering-fabs.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
PI-lowering-PI.f6467.9%
Applied egg-rr67.9%
Taylor expanded in x around inf
unpow3N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6467.9%
Simplified67.9%
Final simplification89.1%
(FPCore (x)
:precision binary64
(fabs
(*
x
(/
(+
2.0
(*
(* x x)
(+
0.6666666666666666
(* x (* x (+ 0.2 (* (* x x) 0.047619047619047616)))))))
(sqrt PI)))))
double code(double x) {
return fabs((x * ((2.0 + ((x * x) * (0.6666666666666666 + (x * (x * (0.2 + ((x * x) * 0.047619047619047616))))))) / sqrt(((double) M_PI)))));
}
public static double code(double x) {
return Math.abs((x * ((2.0 + ((x * x) * (0.6666666666666666 + (x * (x * (0.2 + ((x * x) * 0.047619047619047616))))))) / Math.sqrt(Math.PI))));
}
def code(x): return math.fabs((x * ((2.0 + ((x * x) * (0.6666666666666666 + (x * (x * (0.2 + ((x * x) * 0.047619047619047616))))))) / math.sqrt(math.pi))))
function code(x) return abs(Float64(x * Float64(Float64(2.0 + Float64(Float64(x * x) * Float64(0.6666666666666666 + Float64(x * Float64(x * Float64(0.2 + Float64(Float64(x * x) * 0.047619047619047616))))))) / sqrt(pi)))) end
function tmp = code(x) tmp = abs((x * ((2.0 + ((x * x) * (0.6666666666666666 + (x * (x * (0.2 + ((x * x) * 0.047619047619047616))))))) / sqrt(pi)))); end
code[x_] := N[Abs[N[(x * N[(N[(2.0 + N[(N[(x * x), $MachinePrecision] * N[(0.6666666666666666 + N[(x * N[(x * N[(0.2 + N[(N[(x * x), $MachinePrecision] * 0.047619047619047616), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|x \cdot \frac{2 + \left(x \cdot x\right) \cdot \left(0.6666666666666666 + x \cdot \left(x \cdot \left(0.2 + \left(x \cdot x\right) \cdot 0.047619047619047616\right)\right)\right)}{\sqrt{\pi}}\right|
\end{array}
Initial program 99.8%
Simplified99.9%
*-commutativeN/A
fabs-mulN/A
fabs-fabsN/A
mul-fabsN/A
fabs-lowering-fabs.f64N/A
*-lowering-*.f64N/A
Applied egg-rr99.9%
Final simplification99.9%
(FPCore (x)
:precision binary64
(fabs
(*
(+
2.0
(*
x
(*
x
(+
0.6666666666666666
(* (* x x) (+ 0.2 (* x (* x 0.047619047619047616))))))))
(/ x (sqrt PI)))))
double code(double x) {
return fabs(((2.0 + (x * (x * (0.6666666666666666 + ((x * x) * (0.2 + (x * (x * 0.047619047619047616)))))))) * (x / sqrt(((double) M_PI)))));
}
public static double code(double x) {
return Math.abs(((2.0 + (x * (x * (0.6666666666666666 + ((x * x) * (0.2 + (x * (x * 0.047619047619047616)))))))) * (x / Math.sqrt(Math.PI))));
}
def code(x): return math.fabs(((2.0 + (x * (x * (0.6666666666666666 + ((x * x) * (0.2 + (x * (x * 0.047619047619047616)))))))) * (x / math.sqrt(math.pi))))
function code(x) return abs(Float64(Float64(2.0 + Float64(x * Float64(x * Float64(0.6666666666666666 + Float64(Float64(x * x) * Float64(0.2 + Float64(x * Float64(x * 0.047619047619047616)))))))) * Float64(x / sqrt(pi)))) end
function tmp = code(x) tmp = abs(((2.0 + (x * (x * (0.6666666666666666 + ((x * x) * (0.2 + (x * (x * 0.047619047619047616)))))))) * (x / sqrt(pi)))); end
code[x_] := N[Abs[N[(N[(2.0 + N[(x * N[(x * N[(0.6666666666666666 + N[(N[(x * x), $MachinePrecision] * N[(0.2 + N[(x * N[(x * 0.047619047619047616), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(x / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|\left(2 + x \cdot \left(x \cdot \left(0.6666666666666666 + \left(x \cdot x\right) \cdot \left(0.2 + x \cdot \left(x \cdot 0.047619047619047616\right)\right)\right)\right)\right) \cdot \frac{x}{\sqrt{\pi}}\right|
\end{array}
Initial program 99.8%
Simplified99.9%
*-commutativeN/A
fabs-mulN/A
fabs-fabsN/A
mul-fabsN/A
fabs-lowering-fabs.f64N/A
*-lowering-*.f64N/A
Applied egg-rr99.9%
associate-*l/N/A
associate-/l*N/A
*-lowering-*.f64N/A
Applied egg-rr99.4%
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f6499.4%
Applied egg-rr99.4%
Final simplification99.4%
(FPCore (x)
:precision binary64
(fabs
(*
x
(/
(+
2.0
(*
(* x x)
(+ 0.6666666666666666 (* x (* x (* (* x x) 0.047619047619047616))))))
(sqrt PI)))))
double code(double x) {
return fabs((x * ((2.0 + ((x * x) * (0.6666666666666666 + (x * (x * ((x * x) * 0.047619047619047616)))))) / sqrt(((double) M_PI)))));
}
public static double code(double x) {
return Math.abs((x * ((2.0 + ((x * x) * (0.6666666666666666 + (x * (x * ((x * x) * 0.047619047619047616)))))) / Math.sqrt(Math.PI))));
}
def code(x): return math.fabs((x * ((2.0 + ((x * x) * (0.6666666666666666 + (x * (x * ((x * x) * 0.047619047619047616)))))) / math.sqrt(math.pi))))
function code(x) return abs(Float64(x * Float64(Float64(2.0 + Float64(Float64(x * x) * Float64(0.6666666666666666 + Float64(x * Float64(x * Float64(Float64(x * x) * 0.047619047619047616)))))) / sqrt(pi)))) end
function tmp = code(x) tmp = abs((x * ((2.0 + ((x * x) * (0.6666666666666666 + (x * (x * ((x * x) * 0.047619047619047616)))))) / sqrt(pi)))); end
code[x_] := N[Abs[N[(x * N[(N[(2.0 + N[(N[(x * x), $MachinePrecision] * N[(0.6666666666666666 + N[(x * N[(x * N[(N[(x * x), $MachinePrecision] * 0.047619047619047616), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|x \cdot \frac{2 + \left(x \cdot x\right) \cdot \left(0.6666666666666666 + x \cdot \left(x \cdot \left(\left(x \cdot x\right) \cdot 0.047619047619047616\right)\right)\right)}{\sqrt{\pi}}\right|
\end{array}
Initial program 99.8%
Simplified99.9%
*-commutativeN/A
fabs-mulN/A
fabs-fabsN/A
mul-fabsN/A
fabs-lowering-fabs.f64N/A
*-lowering-*.f64N/A
Applied egg-rr99.9%
Taylor expanded in x around inf
unpow3N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6498.5%
Simplified98.5%
Final simplification98.5%
(FPCore (x)
:precision binary64
(fabs
(*
x
(/
(+ 2.0 (* (* x (* (* x x) 0.047619047619047616)) (* x (* x x))))
(sqrt PI)))))
double code(double x) {
return fabs((x * ((2.0 + ((x * ((x * x) * 0.047619047619047616)) * (x * (x * x)))) / sqrt(((double) M_PI)))));
}
public static double code(double x) {
return Math.abs((x * ((2.0 + ((x * ((x * x) * 0.047619047619047616)) * (x * (x * x)))) / Math.sqrt(Math.PI))));
}
def code(x): return math.fabs((x * ((2.0 + ((x * ((x * x) * 0.047619047619047616)) * (x * (x * x)))) / math.sqrt(math.pi))))
function code(x) return abs(Float64(x * Float64(Float64(2.0 + Float64(Float64(x * Float64(Float64(x * x) * 0.047619047619047616)) * Float64(x * Float64(x * x)))) / sqrt(pi)))) end
function tmp = code(x) tmp = abs((x * ((2.0 + ((x * ((x * x) * 0.047619047619047616)) * (x * (x * x)))) / sqrt(pi)))); end
code[x_] := N[Abs[N[(x * N[(N[(2.0 + N[(N[(x * N[(N[(x * x), $MachinePrecision] * 0.047619047619047616), $MachinePrecision]), $MachinePrecision] * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|x \cdot \frac{2 + \left(x \cdot \left(\left(x \cdot x\right) \cdot 0.047619047619047616\right)\right) \cdot \left(x \cdot \left(x \cdot x\right)\right)}{\sqrt{\pi}}\right|
\end{array}
Initial program 99.8%
Simplified99.9%
Taylor expanded in x around inf
*-commutativeN/A
metadata-evalN/A
pow-sqrN/A
cube-prodN/A
unpow2N/A
cube-unmultN/A
pow-sqrN/A
metadata-evalN/A
associate-*r*N/A
*-commutativeN/A
metadata-evalN/A
pow-sqrN/A
associate-*l*N/A
*-commutativeN/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
associate-*l*N/A
pow-sqrN/A
metadata-evalN/A
*-lowering-*.f64N/A
metadata-evalN/A
pow-sqrN/A
Simplified98.0%
*-commutativeN/A
fabs-mulN/A
fabs-fabsN/A
mul-fabsN/A
fabs-lowering-fabs.f64N/A
*-lowering-*.f64N/A
Applied egg-rr98.0%
Final simplification98.0%
(FPCore (x) :precision binary64 (fabs (* x (/ (+ 2.0 (* x (* x (* (* x x) 0.2)))) (sqrt PI)))))
double code(double x) {
return fabs((x * ((2.0 + (x * (x * ((x * x) * 0.2)))) / sqrt(((double) M_PI)))));
}
public static double code(double x) {
return Math.abs((x * ((2.0 + (x * (x * ((x * x) * 0.2)))) / Math.sqrt(Math.PI))));
}
def code(x): return math.fabs((x * ((2.0 + (x * (x * ((x * x) * 0.2)))) / math.sqrt(math.pi))))
function code(x) return abs(Float64(x * Float64(Float64(2.0 + Float64(x * Float64(x * Float64(Float64(x * x) * 0.2)))) / sqrt(pi)))) end
function tmp = code(x) tmp = abs((x * ((2.0 + (x * (x * ((x * x) * 0.2)))) / sqrt(pi)))); end
code[x_] := N[Abs[N[(x * N[(N[(2.0 + N[(x * N[(x * N[(N[(x * x), $MachinePrecision] * 0.2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|x \cdot \frac{2 + x \cdot \left(x \cdot \left(\left(x \cdot x\right) \cdot 0.2\right)\right)}{\sqrt{\pi}}\right|
\end{array}
Initial program 99.8%
Simplified99.9%
*-commutativeN/A
fabs-mulN/A
fabs-fabsN/A
mul-fabsN/A
fabs-lowering-fabs.f64N/A
*-lowering-*.f64N/A
Applied egg-rr99.9%
Taylor expanded in x around 0
+-commutativeN/A
distribute-rgt-inN/A
associate-*l*N/A
pow-sqrN/A
metadata-evalN/A
+-lowering-+.f64N/A
metadata-evalN/A
pow-sqrN/A
associate-*l*N/A
distribute-rgt-inN/A
+-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6494.4%
Simplified94.4%
Taylor expanded in x around inf
metadata-evalN/A
pow-sqrN/A
associate-*l*N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6493.5%
Simplified93.5%
Final simplification93.5%
(FPCore (x) :precision binary64 (fabs (* x (/ (+ 2.0 (* x (* x 0.6666666666666666))) (sqrt PI)))))
double code(double x) {
return fabs((x * ((2.0 + (x * (x * 0.6666666666666666))) / sqrt(((double) M_PI)))));
}
public static double code(double x) {
return Math.abs((x * ((2.0 + (x * (x * 0.6666666666666666))) / Math.sqrt(Math.PI))));
}
def code(x): return math.fabs((x * ((2.0 + (x * (x * 0.6666666666666666))) / math.sqrt(math.pi))))
function code(x) return abs(Float64(x * Float64(Float64(2.0 + Float64(x * Float64(x * 0.6666666666666666))) / sqrt(pi)))) end
function tmp = code(x) tmp = abs((x * ((2.0 + (x * (x * 0.6666666666666666))) / sqrt(pi)))); end
code[x_] := N[Abs[N[(x * N[(N[(2.0 + N[(x * N[(x * 0.6666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|x \cdot \frac{2 + x \cdot \left(x \cdot 0.6666666666666666\right)}{\sqrt{\pi}}\right|
\end{array}
Initial program 99.8%
Simplified99.9%
*-commutativeN/A
fabs-mulN/A
fabs-fabsN/A
mul-fabsN/A
fabs-lowering-fabs.f64N/A
*-lowering-*.f64N/A
Applied egg-rr99.9%
Taylor expanded in x around 0
+-commutativeN/A
distribute-rgt-inN/A
associate-*l*N/A
pow-sqrN/A
metadata-evalN/A
+-lowering-+.f64N/A
metadata-evalN/A
pow-sqrN/A
associate-*l*N/A
distribute-rgt-inN/A
+-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6494.4%
Simplified94.4%
Taylor expanded in x around 0
+-lowering-+.f64N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f6489.6%
Simplified89.6%
Final simplification89.6%
(FPCore (x) :precision binary64 (fabs (* (/ x (sqrt PI)) (+ 2.0 (* x (* x 0.6666666666666666))))))
double code(double x) {
return fabs(((x / sqrt(((double) M_PI))) * (2.0 + (x * (x * 0.6666666666666666)))));
}
public static double code(double x) {
return Math.abs(((x / Math.sqrt(Math.PI)) * (2.0 + (x * (x * 0.6666666666666666)))));
}
def code(x): return math.fabs(((x / math.sqrt(math.pi)) * (2.0 + (x * (x * 0.6666666666666666)))))
function code(x) return abs(Float64(Float64(x / sqrt(pi)) * Float64(2.0 + Float64(x * Float64(x * 0.6666666666666666))))) end
function tmp = code(x) tmp = abs(((x / sqrt(pi)) * (2.0 + (x * (x * 0.6666666666666666))))); end
code[x_] := N[Abs[N[(N[(x / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(2.0 + N[(x * N[(x * 0.6666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|\frac{x}{\sqrt{\pi}} \cdot \left(2 + x \cdot \left(x \cdot 0.6666666666666666\right)\right)\right|
\end{array}
Initial program 99.8%
Simplified99.9%
*-commutativeN/A
fabs-mulN/A
fabs-fabsN/A
mul-fabsN/A
fabs-lowering-fabs.f64N/A
*-lowering-*.f64N/A
Applied egg-rr99.9%
associate-*l/N/A
associate-/l*N/A
*-lowering-*.f64N/A
Applied egg-rr99.4%
Taylor expanded in x around 0
*-commutativeN/A
*-lowering-*.f6489.1%
Simplified89.1%
Final simplification89.1%
(FPCore (x) :precision binary64 (fabs (* x (/ 2.0 (sqrt PI)))))
double code(double x) {
return fabs((x * (2.0 / sqrt(((double) M_PI)))));
}
public static double code(double x) {
return Math.abs((x * (2.0 / Math.sqrt(Math.PI))));
}
def code(x): return math.fabs((x * (2.0 / math.sqrt(math.pi))))
function code(x) return abs(Float64(x * Float64(2.0 / sqrt(pi)))) end
function tmp = code(x) tmp = abs((x * (2.0 / sqrt(pi)))); end
code[x_] := N[Abs[N[(x * N[(2.0 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|x \cdot \frac{2}{\sqrt{\pi}}\right|
\end{array}
Initial program 99.8%
Simplified99.9%
*-commutativeN/A
fabs-mulN/A
fabs-fabsN/A
mul-fabsN/A
fabs-lowering-fabs.f64N/A
*-lowering-*.f64N/A
Applied egg-rr99.9%
Taylor expanded in x around 0
Simplified70.4%
Final simplification70.4%
herbie shell --seed 2024138
(FPCore (x)
:name "Jmat.Real.erfi, branch x less than or equal to 0.5"
:precision binary64
:pre (<= x 0.5)
(fabs (* (/ 1.0 (sqrt PI)) (+ (+ (+ (* 2.0 (fabs x)) (* (/ 2.0 3.0) (* (* (fabs x) (fabs x)) (fabs x)))) (* (/ 1.0 5.0) (* (* (* (* (fabs x) (fabs x)) (fabs x)) (fabs x)) (fabs x)))) (* (/ 1.0 21.0) (* (* (* (* (* (* (fabs x) (fabs x)) (fabs x)) (fabs x)) (fabs x)) (fabs x)) (fabs x)))))))